160+ Hours Saved Monthly with Automated Reporting

160+
Analyst Hours Saved Monthly Through Reporting Automation

About

PointStory is a boutique ecommerce agency based in Poland. The firm helps consumer brands grow their presence on Amazon through tailored performance marketing, data insights, and strategy execution.

Saras is the go-to solution for anyone seeking a comprehensive understanding of their business through data. With their ecommerce domain expertise and modest pricing, they deliver seamless solutions without any unexpected surprises.
Leszek Lekstan
Co-founder, PointStory

The Challenges

  • Analysts spent 3+ hours per client each week compiling reports
  • Data came from disconnected sources, slowing insight delivery
  • Off-the-shelf tools lacked the flexibility PointStory needed
  • Google BigQuery costs exceeded $1000 per month
  • No automated dashboards existed to support daily decisions

The Solution

Saras implemented Daton to centralize all client data from Amazon, Shopify, and ad channels into Google BigQuery.
This enabled PointStory to:

  • Build custom Power BI dashboards per client
  • Automate daily refreshed reporting at SKU, campaign, and cohort levels
  • Monitor client performance in near real time
  • Optimize data models to reduce BigQuery costs from $1000 to $300 per month

‍

The Outcomes

  • 160+ hours of analyst time saved every month
  • 70% reduction in BigQuery data warehouse cost
  • Faster campaign and keyword performance analysis
  • More impactful discovery calls supported by real time dashboards
  • Increased client satisfaction and agency scalability

    • ‍

    Location
    Poland
    Industry
    Agency
    Goals
    Save time and reduce data infrastructure costs through reporting automation.
    Integrations
    Google BigQuery, Power BI , Amazon Seller & Vendor Central, Amazon Ads, Meta Ads, Google Ads, Shopify

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